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Ling Yang
Ling Yang
Peking University, Princeton University
Verified email at princeton.edu - Homepage
Title
Cited by
Cited by
Year
Diffusion models: A comprehensive survey of methods and applications
L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao, W Zhang, B Cui, ...
ACM Computing Surveys 56 (4), 1-39, 2023
13762023
Dpgn: Distribution propagation graph network for few-shot learning
L Yang, L Li, Z Zhang, X Zhou, E Zhou, Y Liu
IEEE Conference on Computer Vision and Pattern Recognition, 13390-13399, 2020
2702020
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
L Yang, Z Yu, T Zhang, S Cao, M Xu, W Zhang, JE Gonzalez, B Cui
NeurIPS spotlight, 2024
134*2024
Unsupervised time-series representation learning with iterative bilinear temporal-spectral fusion
L Yang, S Hong
International conference on machine learning, 25038-25054, 2022
1252022
Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms
L Yang, Z Yu, C Meng, M Xu, S Ermon, B Cui
International Conference on Machine Learning, 2024
752024
Diffusion-based scene graph to image generation with masked contrastive pre-training
L Yang, Z Huang, Y Song, S Hong, G Li, W Zhang, B Cui, B Ghanem, ...
arXiv preprint arXiv:2211.11138, 2022
412022
Self-supervised time series representation learning via cross reconstruction transformer
W Zhang, L Yang, S Geng, S Hong
IEEE Transactions on Neural Networks and Learning Systems, 2023
35*2023
Improving diffusion-based image synthesis with context prediction
L Yang, J Liu, S Hong, Z Zhang, Z Huang, Z Cai, W Zhang, B Cui
Advances in Neural Information Processing Systems 36, 2024
262024
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
L Yang, Y Tian, M Xu, Z Liu, S Hong, W Qu, W Zhang, B Cui, M Zhang, ...
International Conference on Learning Representations, 2024
242024
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
L Yang, Z Yu, T Zhang, M Xu, JE Gonzalez, B Cui, S Yan
arXiv preprint arXiv:2410.09008, 2024
21*2024
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
B Zeng, S Li, Y Feng, L Yang, H Li, S Gao, J Liu, C He, W Zhang, J Liu, ...
arXiv preprint arXiv:2310.05375, 2023
192023
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
X Zhang, L Yang, Y Cai, Z Yu, KN Wang, Y Tian, M Xu, Y Tang, Y Yang, ...
Neural Information Processing Systems, 2024
17*2024
Omni-granular ego-semantic propagation for self-supervised graph representation learning
L Yang, S Hong
International Conference on Machine Learning, 25022-25037, 2022
152022
Protein-ligand interaction prior for binding-aware 3d molecule diffusion models
Z Huang, L Yang, X Zhou, Z Zhang, W Zhang, X Zheng, J Chen, Y Wang, ...
The Twelfth International Conference on Learning Representations, 2024
132024
Individual and structural graph information bottlenecks for out-of-distribution generalization
L Yang, J Zheng, H Wang, Z Liu, Z Huang, S Hong, W Zhang, B Cui
IEEE Transactions on Knowledge and Data Engineering, 2023
102023
Structure-Guided Adversarial Training of Diffusion Models
L Yang, H Qian, Z Zhang, J Liu, B Cui
IEEE Conference on Computer Vision and Pattern Recognition, 2024
92024
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
L Yang, Z Zhang, Z Yu, J Liu, M Xu, S Ermon, B Cui
International Conference on Learning Representations, 2024
92024
Graphusion: Latent Diffusion for Graph Generation
L Yang, Z Huang, Z Zhang, Z Liu, S Hong, W Zhang, W Yang, B Cui, ...
IEEE Transactions on Knowledge and Data Engineering, 2024
7*2024
VideoTetris: Towards Compositional Text-to-Video Generation
Y Tian, L Yang, H Yang, Y Gao, Y Deng, J Chen, X Wang, Z Yu, X Tao, ...
NeurIPS, 2024
62024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Z Huang, L Yang, Z Zhang, X Zhou, Y Bao, X Zheng, Y Yang, Y Wang, ...
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12671 …, 2024
62024
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